Economic Analysis of Infectious Disease Consultation for Staphylococcus aureus Bacteremia Among Hospitalized Patients.

Importance: Staphylococcus aureus bacteremia is associated with a significant burden of mortality, morbidity, and health care costs. Infectious disease consultation may be associated with reduced mortality and bacteremia recurrence rates. Objective: To evaluate the cost-effectiveness of infectious disease consultation for Staphylococcus aureus bacteremia. Design, Setting, and Participants: In this economic evaluation, a decision-analytic model was constructed comparing infectious disease consult with no consult. The population was adult hospital inpatients with Staphylococcus aureus bacteremia diagnosed with at least 1 positive blood culture. Cost-effectiveness was calculated as deaths averted and incremental cost-effectiveness ratios. Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. Costs and outcomes were calculated for a time horizon of 6 months. The analysis was performed from a societal perspective and included studies that had been published by January 2022. Interventions: Patients received or did not receive formal bedside consultation after positive blood cultures for Staphylococcus aureus bacteremia. Main Outcomes and Measures: The main outcomes were incremental difference in effectiveness (survival probabilities), incremental difference in cost (US dollars) and incremental cost-effectiveness ratios (US dollars/deaths averted). Results: This model included 1708 patients who received consultation and 1273 patients who did not. In the base-case analysis, the cost associated with the infectious disease consult strategy was $54 137.4 and the associated probability of survival was 0.77. For the no consult strategy, the cost was $57 051.2, and the probability of survival was 0.72. The incremental difference in cost between strategies was $2913.8, and the incremental difference in effectiveness was 0.05. Overall, consultation was associated with estimated savings of $55 613.4/death averted (incremental cost-effectiveness ratio, -$55613.4/death averted). In the probabilistic analysis, at a willingness-to-pay threshold of $50 000, infectious disease consult was cost-effective compared with no consult in 54% of 10 000 simulations. In cost-effectiveness acceptability curves, the consult strategy was cost-effective in 58% to 73%) of simulations compared with no consult for a willingness-to-pay threshold ranging from $0 to $150 000. Conclusions and Relevance: These findings suggest that infectious disease consultation may be a cost-effective strategy for management of Staphylococcus aureus bacteremia and that it is associated with health care cost-savings.

The Cost-effectiveness of Cefazolin Compared With Antistaphylococcal Penicillins for the Treatment of Methicillin-Sensitive Staphylococcus aureus Bacteremia.

BACKGROUND: Methicillin-sensitive Staphylococcus aureus (MSSA) bacteremia is associated with significant morbidity, mortality, and hospitalization costs. Cefazolin and antistaphylococcal penicillins (ASPs), such as nafcillin, are the preferred treatments for MSSA bacteremia. The aim of this study was to compare the cost-effectiveness of each approach. METHODS: We constructed a decision-analytic model comparing the use of cefazolin with ASPs for the treatment of MSSA bacteremia. Cost-effectiveness was determined by calculating deaths averted and incremental cost-effectiveness ratios (ICERs). Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. RESULTS: In the base-case analysis, the cost associated with the cefazolin strategy was $38 863.1, and the associated probability of survival was 0.91. For the ASP strategy, the cost was $48 578.8, and the probability of survival was 0.81. The incremental difference in cost between the 2 strategies was $9715.7, with hospital length of stay being the main driver of cost, and the incremental difference in effectiveness was 0.10. Overall, cefazolin results in savings of $97 156.8 per death averted (ICER, $-97 156.8/death averted). In the probabilistic analysis, at a willingness-to-pay of $50 000, cefazolin had a 68% chance of being cost-effective compared with ASPs. In cost-effectiveness acceptability curves, the cefazolin strategy was cost-effective in 73.5%-81.8% of simulations compared with ASP for a willingness-to-pay ranging up to $50 000. CONCLUSIONS: The use of cefazolin is a cost-effective strategy for the treatment of MSSA bacteremia and, when clinically appropriate, this strategy results in considerable health care cost-savings.

How Should Economic Analyses Inform Nosocomial Infection Control?

Nosocomial infections are public health threats with often grave human costs. Because implementing screening and best outbreak response practices is costly for health care organizations, allocating resources for interventions requires consensus among stakeholders with a plurality of perspectives about how to weigh prospective interventions' risks and benefits. Economic analysis can facilitate decision making but is relatively new in nosocomial infection prevention and control. This article describes features of and reasons for economic analysis in this specific area and focuses on emerging challenges in antimicrobial stewardship.

Medicare Part D Spending on Drugs Prescribed by Oncologists: Temporal Trends and Regional Variation.

PURPOSE: Drug cost is a significant factor in the ever-increasing expenditures for cancer health care. METHODS: We used Medicare Part D administrative data to explore prescribing patterns and attributed drug costs of oncologists from 2013 to 2017. We highlighted regional variation in spending and potential associations. We used the location quotient (LQ) to measure the relative concentration of oncologists compared with the national average by hospital referral regions. Costs were reported in 2017 US dollars (inflation adjusted) for cross-year comparisons. RESULTS: Oncology's share in Part D spending showed an uninterrupted increasing trend. In 2017, oncologists prescribed medicines with $12.8 billion in Part D costs (8.3% of all Part D payments), which exceeded 2013 costs by $7.3 billion, when their claim payments were $5.5 billion (5.0% of all Part D payments). Oncology contributed a higher annual growth in Part D drug costs compared with all other providers (15.1% and 3.1%, respectively, for 2017). The top 3 drugs increased cost by approximately $3.5 billion from 2013 to 2017. Across hospital referral regions, the oncologists' Part D share varied (median in 2017, 7.7%; interquartile range, 6.2%-9.3%) and was higher across regions where oncologists had an LQ significantly > 1 (mostly in areas with centers that excel in cancer care) and lower for an LQ significantly < 1 (median, 9.7% v 6.2%, respectively; P < .001). CONCLUSION: Oncology increased its share in Part D drug spending, disproportionately to all other providers, with regional differences partially moderated by the oncology workforce and quality of cancer care.

The association of obesity with health insurance coverage and demographic characteristics: a statewide cross-sectional study.

We evaluated the statewide burden of obesity and its complications among government and state funded programs (Medicare and Medicaid) and commercial insurance.We calculated the prevalence of obesity and the prevalence of relevant comorbidities among different demographic groups and based on health insurance, among adults (18-65 years old) who visited a statewide health network in the state of Rhode Island, in 2017.The overall prevalence of obesity among 74,089 individuals was 38.88% [Asians 16.77%, Whites 37.49%, Hispanics 44.23%, and Blacks 48.44%]. Medicare or Medicaid beneficiaries were 26% and 27%, respectively, more likely to have obesity than those who had commercial insurance (Odds Ratio:1.26, 95% confidence interval [CI]:1.20-1.32; Odds Ratio:1.27, 95%CI:1.22-1.32). Moreover, Medicaid and Medicare beneficiaries with obesity had a higher prevalence of diabetes compared with privately insured with obesity (10.58% and 10.44% vs 4.45%). Medicare beneficiaries with obesity had a statistically higher prevalence of ischemic heart disease (4.34%, 95%CI: 3.77-4.91) than privately insured (3.21%, 95%CI: 2.94-3.47).Based on statewide data among 18 to 65 years old adults, Medicare and Medicaid provide health coverage to 40% of individuals with obesity and 46% of those with the obesity-related comorbidities and complications. State and federal health care programs need to support and expand obesity-related services and coverage.

The cost-effectiveness of empirical antibiotic treatments for high-risk febrile neutropenic patients: A decision analytic model.

PURPOSE: Febrile neutropenia has a significant clinical and economic impact on cancer patients. This study evaluates the cost-effectiveness of different current empiric antibiotic treatments. METHODS: A decision analytic model was constructed to compare the use of cefepime, meropenem, imipenem/cilastatin, and piperacillin/tazobactam for treatment of high-risk patients. The analysis was performed from the perspective of U.S.-based hospitals. The time horizon was defined to be a single febrile neutropenia episode. Cost-effectiveness was determined by calculating costs and deaths averted. Cost-effectiveness acceptability curves for various willingness-to-pay thresholds (WTP), were used to address the uncertainty in cost-effectiveness. RESULTS: The base-case analysis results showed that treatments were equally effective but differed mainly in their cost. In increasing order: treatment with imipenem/cilastatin cost $52,647, cefepime $57,270, piperacillin/tazobactam $57,277, and meropenem $63,778. In the probabilistic analysis, mean costs were $52,554 (CI: $52,242-$52,866) for imipenem/cilastatin, $57,272 (CI: $56,951-$57,593) for cefepime, $57,294 (CI: $56,978-$57,611) for piperacillin/tazobactam, and $63,690 (CI: $63,370-$64,009) for meropenem. Furthermore, with a WTP set at $0 to $50,000, imipenem/cilastatin was cost-effective in 66.2% to 66.3% of simulations compared to all other high-risk options. DISCUSSION: Imipenem/cilastatin is a cost-effective strategy and results in considerable health care cost-savings at various WTP thresholds. Cost-effectiveness analyses can be used to differentiate the treatments of febrile neutropenia in high-risk patients.

The role of county-level socioeconomic status on brand-name prescriptions in Medicare part D: A cross-sectional Study.

The objective of this study was to examine the association between county-level socioeconomic factors and brand-name drug prescription drug patterns among medical specialties with overall high brand-name outpatient prescription use.This cross-sectional study used data from 2 publicly available datasets. The 2015 Medicare Part D PUF data quantifies the prescription rates at the county-level and data from the US Census Bureau provides information on socioeconomic status at the county-level.We analyzed 3,821,523 brand-name claims and 14,088,613 generic claims reported by health providers from 40 specialties as provided by the 2015 Medicare Part D dataset. Internal Medicine, Family Practice, General Practice, Cardiology, and Ophthalmology accounted for 71% of the total amount of brand-name drugs filled under Medicare Part D in 2015. As the presence of individuals with an income ≥$100,000 increased in a given county, the likelihood of receiving a brand-name prescription claim increased.A county-level association exists involving socioeconomic factors and outpatient brand-name drug prescription patterns. Future interventions should consider these factors in order to reduce percentage of brand-name drugs filled and decrease health care expenditures.

Correlation of antimicrobial prescription rate and county income in medicare part D.

The objective of this study was to examine whether patient income has an impact on likelihood of being prescribed an antimicrobial agent at the county level. A better understanding of factors that influence antimicrobial prescription is needed to efficiently mitigate rates of antimicrobial agents prescribed.This cross-sectional study used data from two publicly available datasets. The 2015 Medicare Part D PUF data quantifies the antimicrobial prescription rate at the county level and data from US Census Bureau provides information on socioeconomic status at the county level.At the county level, we explained 48% of the variation in antimicrobial prescriptions by socioeconomic status, age, gender, and race. More specifically, socioeconomic status accounted for 26% of the variation in antimicrobial rate and as income increased, correlation with antimicrobial prescription rate trended down.We determined patient income and other sociodemographics to influence the prescription of antimicrobial agents. Interventions should consider these factors to effectively evaluate antimicrobial prescription methods. Findings from this study can help guide intervention efforts which aim to minimize the number of inappropriate antimicrobials prescribed, such as antimicrobial stewardship programs. Effective interventions have the capability of decreasing levels of inappropriate antimicrobials prescribed and prevent future cases of resistance.

Cost-effectiveness of molecular diagnostic assays for the therapy of severe sepsis and septic shock in the emergency department.

OBJECTIVES: Sepsis presents a major burden to the emergency department (ED). Because empiric inappropriate antimicrobial therapy (IAAT) is associated with increased mortality, rapid molecular assays may decrease IAAT and improve outcomes. We evaluated the cost-effectiveness of molecular testing as an adjunct to blood cultures in patients with severe sepsis or septic shock evaluated in the ED. METHODS: We developed a decision analysis model with primary outcome the incremental cost-effectiveness ratio expressed in terms of deaths averted. Costs were dependent on the assay price and the patients' length of stay (LOS). Three base-case scenarios regarding the difference in LOS between patients receiving appropriate (AAT) and IAAT were described. Sensitivity analyses regarding the assay cost and sensitivity, and its ability to guide changes from IAAT to AAT were performed. RESULTS: Under baseline assumptions, molecular testing was cost-saving when the LOS differed by 4 days between patients receiving IAAT and AAT (ICER -$7,302/death averted). Our results remained robust in sensitivity analyses for assay sensitivity≥52%, panel efficiency≥39%, and assay cost≤$270. In the extreme case that the LOS of patients receiving AAT and IAAT was the same, the ICER remained≤$20,000/death averted for every studied sensitivity (i.e. 0.5-0.95), panel efficiency≥34%, and assay cost≤$313. For 2 days difference in LOS, the bundle approach was dominant when the assay cost was≤$135 and the panel efficiency was≥77%. CONCLUSIONS: The incorporation of molecular tests in the management of sepsis in the ED has the potential to improve outcomes and be cost-effective for a wide range of clinical scenarios.

Cost-effectiveness of rapid diagnostic assays that perform directly on blood samples for the diagnosis of septic shock.

Molecular diagnostic assays that test directly whole blood provide the ability to decrease inappropriate antimicrobial therapy and improve survival in patients with septic shock. We developed a decision analysis model to evaluate the cost-effectiveness of the addition of molecular assays to blood cultures in adults admitted to medical ICUs with septic shock. Under baseline assumptions, the use of molecular diagnostic methods was cost-saving in all cases that the length of hospital stay differed by 2 and 4 days between patients receiving appropriate and inappropriate antimicrobial therapy. In the case that the length of stay was the same, the use of molecular methods was cost-effective with an estimated incremental cost-effectiveness ratio (ICER) < $3000 per death averted. In the extreme that the length of stay between the 2 groups was the same, the highest cost reached was when the cost of the assay was $1000, with the estimated ICER being < $20,000 per death averted.

The Cost-Effectiveness of Corticosteroids for the Treatment of Community-Acquired Pneumonia.

BACKGROUND: The use of corticosteroids as adjunct treatment for community-acquired pneumonia (CAP) is associated with potential clinical benefits. The aim of this study was to evaluate the cost-effectiveness of this approach. METHODS: We constructed a decision-analytic model comparing the use of corticosteroids + antibiotics with that of placebo + antibiotics for the treatment of CAP. Cost-effectiveness was determined by calculating deaths averted and incremental cost-effectiveness ratios. Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. RESULTS: In the base-case analysis, corticosteroids + antibiotics resulted in savings of $142,795 per death averted. In the probabilistic analysis, at a willingness to pay of $50,000, corticosteroids + antibiotics had a 86.4% chance of being cost-effective compared with placebo + antibiotics. In cost-effectiveness acceptability curves, the corticosteroids + antibiotics strategy was cost-effective in 87.6% to 94.3% of simulations compared with the placebo + antibiotics strategy for a willingness to pay ranging from $0 to $50,000. In patients with severe CAP (Pneumonia Severity Index classes IV/V) the corticosteroids + antibiotics strategy resulted in savings of $70,587 and had a 82.6% chance of being cost-effective compared with the placebo + antibiotics strategy. CONCLUSIONS: The use of corticosteroids + antibiotics is a cost-effective strategy and results in considerable health care cost-savings, especially among patients with severe CAP (Pneumonia Severity Index classes IV/V).

The Cost-effectiveness of Antimicrobial Lock Solutions for the Prevention of Central Line-Associated Bloodstream Infections.

Background: Antimicrobial lock solutions are a low-cost strategy that can reduce the incidence of central line-associated bloodstream infection (CLABSI). The aim of this study was to evaluate the cost-effectiveness of antimicrobial locks for the prevention of CLABSI. Methods: We constructed a decision-analytic model comparing antimicrobial lock solutions to heparin locks for the prevention of CLABSI in 3 settings: hemodialysis, cancer treatment, and home parenteral nutrition. Cost-effectiveness was determined by calculating CLABSIs prevented and incremental cost-effectiveness ratios. Uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. Results: In probabilistic analysis, at a willingness to pay of $50000, antimicrobial lock solutions had a 96.24% chance of being cost-effective, compared with heparin locks in the hemodialysis setting, an 88.00% chance in the cancer treatment setting, and a 92.73% chance in the home parenteral nutrition setting. In base-case analysis, antimicrobial lock solutions resulted in savings of $68721.03 for the hemodialysis setting, $85061.41 for the cancer setting, and $78513.83 for the home parenteral nutrition setting per CLABSI episode prevented. Conclusions: In 3 distinct and clinically important settings (hemodialysis, cancer treatment, and home parenteral nutrition), antimicrobial lock solutions are an effective strategy for the prevention of CLABSI, and their use can result in significant healthcare savings.

Medicare part D prescribing for direct oral anticoagulants in the United States: Cost, use and the "rubber effect".

INTRODUCTION: Direct oral anticoagulants (DOAC) have gained an increased share over warfarin for prevention and treatment of thromboembolic disease. We studied DOAC adoption across providers and medical specialties. METHODS: Retrospective, cross-sectional analysis of Medicare Part D public use files (PUF), 2013 to 2015. We summarized prescription data for claims and drug payment, stratified by drug class, specialty and calendar year. We treated DOAC claims as a count outcome and explored patterns of expansion across prescribers via a truncated negative binomial regression. We described dispersion and spread in DOAC prescribing, across hospital referral regions (HRRs), including the p90/p10 ratios, and the median absolute deviation from the median. RESULTS: In 2015 part D PUF, oral anticoagulant claims have climbed to approximately 24.4 million with a payment cost of approximately $3.3 billion. DOAC claims comprised 31.0% of oral anticoagulant claims, showing a relative increase of approximately 127% compared to 2013. The upper decile of prescribers accounted for half of the oral anticoagulant prescriptions and the resulting cost. The median cost per DOAC claim in 2015 was $367.4 (interquartile range 323.9 to 445.9), as opposed to $12.3 (interquartile range 9.2 to 16.5) for warfarin. The median cost per standardized (30-day supply) prescription was $317.0 (interquartile range 303.8 to 324.3) and $8.0 (6.7 to 9.8) for DOACs and warfarin, respectively. DOAC adoption differs by specialty. Cardiologists, cardiac electrophysiologists and orthopedics had the highest predicted DOAC share per 100 claims (53.8, 72.9 and 71.5, respectively in 2015); nephrologists, family practitioners and geriatricians the lowest (22.3, 21.5 and 20.7, respectively in 2015). The p90/p10 ratio and the median absolute deviation from the median varied across HRRs and correlated positively with the prevalence of stroke and atrial fibrillation in the Medicare population. CONCLUSIONS: DOACs have been increasing their share year-over-year, but adoption varies across specialties. In prevalent areas for stroke and atrial fibrillation, prescription dispersion magnifies, and this may signify a rapid adoption by top providers.

The Cost-Effectiveness of Rapid Diagnostic Testing for the Diagnosis of Bloodstream Infections with or without Antimicrobial Stewardship.

Bloodstream infections are associated with considerable morbidity and health care costs. Molecular rapid diagnostic tests (mRDTs) are a promising complement to conventional laboratory methods for the diagnosis of bloodstream infections and may reduce the time to effective therapy among patients with bloodstream infections. The concurrent implementation of antimicrobial stewardship programs (ASPs) may reinforce these benefits. The aim of this study was to evaluate the cost-effectivenesses of competing strategies for the diagnosis of bloodstream infection alone or combined with an ASP. To this effect, we constructed a decision-analytic model comparing 12 strategies for the diagnosis of bloodstream infection. The main arms compared the use of mRDT and conventional laboratory methods with or without an ASP. The baseline strategy used as the standard was the use of conventional laboratory methods without an ASP, and our decision-analytic model assessed the cost-effectivenesses of 5 principal strategies: mRDT (with and without an ASP), mRDT with an ASP, mRDT without an ASP, conventional laboratory methods with an ASP, and conventional laboratory methods without an ASP. Furthermore, based on the availability of data in the literature, we assessed the cost-effectivenesses of 7 mRDT subcategories, as follows: PCR with an ASP, matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) analysis with an ASP, peptide nucleic acid fluorescent in situ hybridization (PNA-FISH) with an ASP, a blood culture nanotechnology microarray system for Gram-negative bacteria (BC-GP) with an ASP, a blood culture nanotechnology microarray system for Gram-positive bacteria (BC-GN) with an ASP, PCR without an ASP, and PNA-FISH without an ASP. Our patient population consisted of adult inpatients in U.S. hospitals with suspected bloodstream infection. The time horizon of the model was the projected life expectancy of the patients. In a base-case analysis, cost-effectiveness was determined by calculating the numbers of bloodstream infection deaths averted, the numbers of quality-adjusted life years gained, and incremental cost-effectiveness ratios (ICERs). In a probabilistic analysis, uncertainty was addressed by plotting cost-effectiveness planes and acceptability curves for various willingness-to-pay thresholds. In the base-case analysis, MALDI-TOF analysis with an ASP was the most cost-effective strategy, resulting in savings of $29,205 per quality-adjusted life year and preventing 1 death per 14 patients with suspected bloodstream infection tested compared to conventional laboratory methods without an ASP (ICER, -$29,205/quality-adjusted life year). BC-GN with an ASP (ICER, -$23,587/quality-adjusted life year), PCR with an ASP (ICER, -$19,833/quality-adjusted life year), and PCR without an ASP (ICER, -$21,039/quality-adjusted life year) were other cost-effective options. In the probabilistic analysis, mRDT was dominant and cost-effective in 85.1% of simulations. Importantly, mRDT with an ASP had an 80.0% chance of being cost-effective, while mRDT without an ASP had only a 41.1% chance. In conclusion, our findings suggest that mRDTs are cost-effective for the diagnosis of patients with suspected bloodstream infection and can reduce health care expenditures. Notably, the combination of mRDT and an ASP can result in substantial health care savings.

Use of T2MR in invasive candidiasis with and without candidemia.

The mortality associated with invasive candidiasis remains unacceptably high. The T2 magnetic resonance (T2MR) assay is a novel US FDA-approved molecular diagnostic assay for the diagnosis of candidemia that can rapidly detect the five most commonly isolated Candida spp. In clinical trials, T2MR has exhibited good clinical sensitivity and specificity. Potential benefits from the adoption of T2MR technology in the diagnostic and therapeutic algorithms for invasive candidiasis can arise from timely diagnosis of disease, increased case detection, tailored therapy and decrease in empiric antifungal treatment. As everyday clinical experience with the assay is evolving, we discuss the utility of T2MR in invasive candidiasis with and without candidemia based on the currently available evidence regarding its performance.

The impact of antibiotic prescription rates on the incidence of MRSA bloodstream infections: A county-level, US-wide analysis.

OBJECTIVES: To investigate the association of methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection with socioeconomic factors and antibiotic prescriptions at the county level. METHODS: MRSA bloodstream infection rates were extracted from the Medicare Hospital Compare database. Data on socioeconomic factors and antibiotic prescriptions were obtained from the US Census Bureau and the Medicare Part D database, respectively. RESULTS: In multivariate analysis, antibiotic prescriptions demonstrated a powerful positive association with MRSA bloodstream infection rates [Coefficient (Coeff): 0.432, 95% Confidence Interval (CI): 0.389, 0.474, P < 0.001], which was largely attributable to lincosamides (Coeff: 0.257, 95% CI: 0.177, 0.336, P < 0.001), glycopeptides (Coeff: 0.223, 95% CI: 0.175, 0.272, P < 0.001), and sulfonamides (Coeff: 0.166, 95% CI: 0.082, 0.249, P < 0.001). Sociodemographic factors, such as poverty (Coeff: 0.094, 95% CI: 0.034, 0.155, P=0.002) exerted a secondary positive impact on MRSA bloodstream infection. Conversely, college education (Coeff: -0.037, 95% CI: -0.068, -0.005, P=0.024), a larger median room number per house (Coeff: -0.107, 95% CI: -0.134, -0.081, P < 0.001), and an income above the poverty line (100% < income < 150% of the poverty line) (Coeff: -0.257, 95% CI: -0.314, -0.199, P < 0.001) were negatively associated with MRSA incidence rates. A multivariate model that incorporated socioeconomic data and antibiotic prescription rates predicted 39.1% of the observed variation in MRSA bloodstream infection rates (Pmodel < 0.001). CONCLUSIONS: MRSA bloodstream infection rates were strongly associated with county-level antibiotic use and socioeconomic factors. If the causality of these associations is confirmed, antimicrobial stewardship programs that extend outside acute healthcare facilities would likely prove instrumental in arresting the spread of MRSA.

Correlation of Opioid Mortality with Prescriptions and Social Determinants: A Cross-sectional Study of Medicare Enrollees.

BACKGROUND: The opioid epidemic is an escalating health crisis. We evaluated the impact of opioid prescription rates and socioeconomic determinants on opioid mortality rates, and identified potential differences in prescription patterns by categories of practitioners. METHODS: We combined the 2013 and 2014 Medicare Part D data and quantified the opioid prescription rate in a county level cross-sectional study with data from 2710 counties, 468,614 unique prescribers and 46,665,037 beneficiaries. We used the CDC WONDER database to obtain opioid-related mortality data. Socioeconomic characteristics for each county were acquired from the US Census Bureau. RESULTS: The average national opioid prescription rate was 3.86 claims per beneficiary that received a prescription for opioids (95% CI 3.86-3.86). At a county level, overall opioid prescription rates (p < 0.001, Coeff = 0.27) and especially those provided by emergency medicine (p < 0.001, Coeff = 0.21), family medicine physicians (p = 0.11, Coeff = 0.008), internal medicine (p = 0.018, Coeff = 0.1) and physician assistants (p = 0.021, Coeff = 0.08) were associated with opioid-related mortality. Demographic factors, such as proportion of white (p white < 0.001, Coeff = 0.22), black (p black < 0.001, Coeff = - 0.19) and male population (p male < 0.001, Coeff = 0.13) were associated with opioid prescription rates, while poverty (p < 0.001, Coeff = 0.41) and proportion of white population (p white < 0.001, Coeff = 0.27) were risk factors for opioid-related mortality (p model < 0.001, R 2 = 0.35). Notably, the impact of prescribers in the upper quartile was associated with opioid mortality (p < 0.001, Coeff = 0.14) and was twice that of the remaining 75% of prescribers together (p < 0.001, Coeff = 0.07) (p model = 0.03, R 2 = 0.03). CONCLUSIONS: The prescription opioid rate, and especially that by certain categories of prescribers, correlated with opioid-related mortality. Interventions should prioritize providers that have a disproportionate impact and those that care for populations with socioeconomic factors that place them at higher risk.

The impact of HIV infection and socioeconomic factors on the incidence of gonorrhea: A county-level, US-wide analysis.

BACKGROUND: Gonorrhea is the second most commonly reported identifiable disease in the United States (U.S.). Importantly, more than 25% of gonorrheal infections demonstrate antibiotic resistance, leading the Centers for Disease Control and Prevention (CDC) to classify gonorrhea as an "urgent threat". METHODS: We examined the association of gonorrhea infection rates with the incidence of HIV and socioeconomic factors. A county-level multivariable model was then constructed. RESULTS: Multivariable analysis demonstrated that HIV incidence [Coefficient (Coeff): 1.26, 95% Confidence Interval (CI): 0.86, 1.66, P<0.001] exhibited the most powerful independent association with the incidence of gonorrhea and predicted 40% of the observed variation in gonorrhea infection rates. Sociodemographic factors like county urban ranking (Coeff: 0.12, 95% CI: 0.03, 0.20, P = 0.005), percentage of women (Coeff: 0.41, 95% CI: 0.28, 0.53, P<0.001) and percentage of individuals under the poverty line (Coeff: 0.45, 95% CI: 0.32, 0.57, P<0.001) exerted a secondary impact. A regression model that incorporated these variables predicted 56% of the observed variation in gonorrhea incidence (Pmodel<0.001, R2 model = 0.56). CONCLUSIONS: Gonorrhea and HIV infection exhibited a powerful correlation thus emphasizing the benefits of comprehensive screening for sexually transmitted infections (STIs) and the value of pre-exposure prophylaxis for HIV among patients visiting an STI clinic. Furthermore, sociodemographic factors also impacted gonorrhea incidence, thus suggesting another possible focus for public health initiatives.

Urinary tract infections caused by ESBL-producing Enterobacteriaceae in renal transplant recipients: A systematic review and meta-analysis.

BACKGROUND: Urinary tract infections (UTIs) are the most common infectious complications among renal transplant recipients (RTR). UTIs caused by extended-spectrum beta-lactamase (ESBL)-producing Enterobacteriaceae (ESBL-PE) have been associated with inferior clinical outcomes and increased financial burden. METHODS: We performed a systematic review and meta-analysis by searching through the PubMed and EMBASE databases (to May 20, 2016) and identifying studies that reported data on the number of RTR who developed an ESBL-PE UTI. RESULTS: Our analysis included seven studies, out of 357 non-duplicate articles, that provided data on 2824 patients. Among them, 10% (95% confidence interval [CI] 4%-17%) developed an ESBL-PE UTI over their follow-up periods. The proportion of RTR affected by an ESBL-PE UTI was 2% in North America (95% CI 1%-3%), 5% in Europe (95% CI 4%-6%), 17% in South America (95% CI 10%-27%), and 33% in Asia (95% CI 27%-41%). In addition, patients affected with an ESBL-PE UTI were 2.75-times (95% CI 1.97-3.83) more likely to suffer a recurrent UTI. CONCLUSIONS: Based on a limited number of studies, one in 10 RTR will develop a UTI caused by an ESBL-PE, and these patients face an almost 3 times greater risk of recurrence. A more rigorous monitoring of RTR, both during and after resolution of their infection, should be evaluated in order to reduce the incidence and the clinical impact of these resistant infections.

Effect of Clostridium difficile Prevalence in Hospitals and Nursing Homes on Risk of Infection.

OBJECTIVES: To assess the effect of facility Clostridium difficile infection (CDI) prevalence on risk of healthcare facility (HFC) acquired CDI. DESIGN: Retrospective cohort study. SETTING: Medicare fee-for-service (FFS) claims and skilled nursing facility (SNF) Minimum Data Set 3.0 assessments. PARTICIPANTS: Medicare beneficiaries with 90 days or more of no contact with a HCF before a hospital admission without a CDI diagnosis. Participants were separated into two cohorts: discharged to the community and discharged to a SNF. MEASUREMENTS: Risk of HCF-acquired CDI associated with CDI prevalence at the index facility measured according to 30-day rehospitalization with a discharge diagnosis of CDI or diagnosis in the SNF after admission. Hospital and SNF CDI prevalence were categorized into three groups: 0% and above and below the median value for facilities with greater than 0% prevalence. RESULTS: Of 817,900 eligible individuals, there were 553,423 admissions in the first cohort (discharged to the community) and 315,109 in the second (discharged to a SNF). In the first cohort, the risk of HCF-acquired CDI was higher for individuals admitted to hospitals with CDI prevalence less than the median (relative risk (RR) = 1.58, 95% confidence interval (CI) = 1.18-2.12) and greater than the median (RR = 2.56, 95% CI = 1.91-3.45) than for those with no CDI. In the second cohort, the risk of HCF-acquired CDI was greater for individuals admitted to a hospital (RR = 1.89, 95% CI = 1.49-2.39) and a SNF (RR = 1.48, 95% CI = 1.31-1.67) with CDI prevalence greater than the median. CONCLUSION: The risk of HCF-acquired CDI is greater for noninfected individuals admitted to hospitals and SNFs with a high prevalence of CDI.